Papers
3
Total Citations
40
H-Index
3
About
Ganna Pugach is a robotics researcher whose work lies at the intersection of tactile sensing, neural control, and human-robot interaction. Her research focuses on endowing robots with a sense of touch, enabling them to perceive and physically interact with humans and their environment in a more natural and safe manner. Pugach’s major contributions include developing a neural controller that uses artificial skin input to adapt a robot arm’s compliance in multiple directions, a breakthrough for safe physical human-robot interaction (cited 19 times). She has also pioneered brain-inspired coding of robot body schema, using Gain-Field neuron models to integrate visuo-motor and tactile events—a key step toward aligning sensorimotor reference frames in robots (cited 13 times). Additionally, Pugach designed a low-cost tactile sensor system based on Electrical Impedance Tomography (EIT) using conductive fabric, making artificial skin more accessible for research and application (cited 8 times). Her work bridges neuroscience and robotics, offering elegant solutions for robots to “feel” and adapt. With a growing citation footprint, Pugach is a rising voice in embodied AI, demonstrating how tactile intelligence can transform robots from rigid machines into perceptive, collaborative partners.
Research Focus
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Top Papers
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